Ignite Solutions @ignitesol

We are product #startup experts. We help you design and build products, fast! #leanstartups #MVP #appdevelopers #ML #innovation ignitesol.com New York, USA Joined January 2012

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Ignite Solutions @ignitesol

a month ago

9/ The real gap between a demo and a production system isn't a better model. It's the engineering discipline around it. None of this is a reason not to build. It's a reason to build with the production path in mind from day one.

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Ignite Solutions @ignitesol

a month ago

8/ The eval gap. No systematic way to measure quality means "it works" is a vibe, not a metric. You can't improve what you can't measure. You can't debug what you can't see.

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Ignite Solutions @ignitesol

a month ago

1/ The demo took a weekend. Production is taking six months. Here's why most AI demos never make it to a deployed system.

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Ignite Solutions @ignitesol

a month ago

7/ So the real question is how you close the gap without missing your launch schedule. How are you tackling the challenge of building production-quality AI?

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Ignite Solutions @ignitesol

a month ago

6/ The good news: if you have a good team, this gap won't last. The bad news: your deadlines aren't waiting for that.

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Ignite Solutions @ignitesol

a month ago

1/ You have a good team. Congratulations. Now here's the harder question: how do you know your AI will actually behave the way you expect?

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Ignite Solutions @ignitesol

2 months ago

Genuinely curious: has your team already moved to evals, or are you still fighting this with traditional test cases?

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Ignite Solutions @ignitesol

2 months ago

6/ Most teams building AI products haven't rebuilt their QA thinking yet. They've just added more prompts and hoped. That gap is where the unreproducible customer bugs live.

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Ignite Solutions @ignitesol

2 months ago

1/ Unpopular opinion: if your team is still writing pass/fail test cases for your AI features, your QA process is already broken. You just haven't found the bug that proves it yet.